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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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), the sorption of PFAS and heavy metals onto natural nanoparticles will be investigated in situ using a dedicated field exposure method developed by our team, complemented by laboratory experiments and machine
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. Candidates are required to have: master’s degree (or equivalent) in Chemistry, Physics, Materials Science, Nanoscience, Computing in Science or a closely related field strong background in X-ray based methods
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related fields demonstrated expertise in one or more of the defined focus areas strong analytical and problem-solving skills, with experience in experimental design, data analysis, or computational modeling
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60% of the coursework in their degree program. What can be funded? A study semester at a German university, followed by a 4 to 6 month internship in a German company Duration of the funding 12 months
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for the pioneering "2nd Life Metal Components" project. This long-term initiative, funded by the Werner Siemens Foundation with €13 million, is dedicated to developing cutting-edge methods for the upcycling of metal
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are among others: above average academic performance personal suitability for the programme and its objectives knowledge of the German language (at least level B1) good command of English The selection
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offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a
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institute of IFPEN implementation of the planned research program, evaluation and interpretation of the results, elaboration and presentation of the research project-related scientific graduation work